Monitoring biological degradation of historical stone using hyperspectral imaging by Eva Matoušková, Kateřina Kovářová, Michal Cihla, Jindřich Hodač

“…The second chosen method of data processing is to use spectral reflectance curves and their subsequence processing by Spectral Angle Mapper (SAM) classification algorithms. A decline in vegetation with the onset of autumn and during the winter months was detected.…”
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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…User reviews are collected and processed through preprocessing stages, balancing using the SMOTE method, and classified using three machine learning algorithms, namely Support Vector Machine (SVM), Decision Tree, and Logistic Regression. …”
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Emotion-Aware Assistive System for Humanistic Care Based on the Orange Computing Concept by Jhing-Fa Wang, Bo-Wei Chen, Wei-Kang Fan, Chih-Hung Li

“…Orange computing refers to health, happiness, and physiopsychological care computing, which focuses on designing algorithms and systems for enhancing body and mind balance. …”
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Predicting police and military violence: evidence from Colombia and Mexico using machine learning models by Juan David Gelvez

“…Separate machine learning models are trained using four canonical algorithms—Lasso, Random Forests, Extreme Gradient Boosting, and Neural Networks—and their predictions are combined through a Super Learner ensemble. …”
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Preeclampsia pathogenesis and prediction - where are we now: the focus on the role of galectins and miRNAs by Natasa Karadzov Orlic, Ivana Joksić

“…Preeclampsia is a complex, progressive multisystem hypertensive disorder during pregnancy that significantly contributes to increased maternal and perinatal morbidity and mortality. Two screening algorithms are in clinical use for detecting preeclampsia: first-trimester screening, which has been developed and validated for predicting early-onset preeclampsia but is less effective for late-onset disease; and the sFlt-1:PlGF biomarker ratio (soluble tyrosine kinase and placental growth factor) used in suspected cases of preeclampsia. …”
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Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

“…The source of the acoustic signal can be determined by matching it with the existing database using machine learning algorithms like face recognition systems for future goals.…”
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Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors by Talha Khan, Shaheer Ahmed, Syed Safdar Ali Rizvi, Sadique Ahmad, Nitasha Khan

“…Moreover, Artificial Intelligence (AI) based predictive or classification algorithms may be applied for the best optimal results.   …”
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Potential distribution of native freshwater fish in Tabasco, Mexico by Paula Andrea Castillo-Torres, Enrique Martínez-Meyer, Fernando Cordova Tapia, Luis Zambrano

“…We used occurrence records of 41 native fish species and 22 interpolated surfaces that represent topographic features and annual, seasonal and extreme trends of temperature and precipitation to generate niche-based potential geographic distribution maps using the GARP and MaxEnt algorithms. Our results show that habitat affinities can be detected at the regional scale using macro-climatic and topographic variables. …”
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Establishment of an IoT-based smart factory and data analysis model for the quality management of SMEs die-casting companies in Korea by Sangwoo Park, Kim Changgyun, Sekyoung Youm

“…It is expected that a method of systematic implementation will be provided to die-casting companies that want to build smart factories in the future and that a plan for managing casting parameter by-product will be established. In addition, algorithms that can solve the problem of multi-collinearity among the casting parameters and aid in the development of new products are needed to detect optimum casting parameters.…”
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Exogenous interactome analysis of bovine viral diarrhea virus-host using network based-approach and identification of hub genes and important pathways involved in virus pathogenesi... by Seyedeh Elham Rezatofighi

“…CD46, EEF-2, and TXN genes were detected as hub genes using different ranking algorithms in cytoHubba. …”
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Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Each drone continuously broadcasts its state—such as position, velocity, and intended path—to nearby units, dynamically constructing a “traffic graph” that includes both drones and detected obstacles. Unlike traditional methods that rely on fixed geometric rules or purely reactive algorithms, CGPCA leverages predictive learning. …”
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Circadian rhythms of cardiac troponins: mechanisms and clinical significance by A. M. Chaulin, P. D. Duplyakova, D. V. Duplyakov

“…Modern laboratory methods for determining biomarkers of cardiovascular diseases are highly sensitive and can detect almost single molecules in human biological fluids, significantly speeding up and improving the diagnosis of cardiovascular diseases. …”
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A parallel CNN architecture for sport activity recognition based on minimal movement data by Huipeng Zhao

“…Abstract Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. …”
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Expanding kinetoplastid genome annotation through protein structure comparison. by Juan Manuel Trinidad-Barnech, José Sotelo-Silveira, Darío Fernández Do Porto, Pablo Smircich

“…Recently, significant advancements have been made in in-silico protein structure prediction and algorithms for rapid and precise large-scale protein structure comparisons. …”
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The Laboratory Diagnosis of HIV Infections by Margaret Fearon

“…Current enzyme immunoassays are sensitive enough to detect antibody as early as one to two weeks after infection. …”
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Metabolomic Profiling Reveals Serum Tryptophan as a Potential Therapeutic Target for Systemic Lupus Erythematosus by Wang K, Zhu R, Xu M, Zhu K, Li J, Li C, Meng D, Chen H, Sun L

“…Eight machine learning algorithms were employed to establish diagnostic models. …”
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Anellovirus abundance as an indicator for viral metagenomic classifier utility in plasma samples by Gabriel Montenegro de Campos, Luan Gaspar Clemente, Alex Ranieri Jerônimo Lima, Eleonora Cella, Vagner Fonseca, João Paulo Bianchi Ximenez, Milton Yutaka Nishiyama, Enéas de Carvalho, Sandra Coccuzzo Sampaio, Marta Giovanetti, Maria Carolina Elias, Svetoslav Nanev Slavov

“…Interestingly, despite employing different algorithms and data types (protein-based vs. nucleotide-based), Kaiju and Kraken2 performed similarly. …”
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Multi-focus image fusion using adaptive patch rendering anisotropic diffusion filter by Sandhya Tatekalva, G. Tirumala Vasu, Samreen Fiza, Hanumantharao Bitra

“…The experimental results reveal that APRADF-based fusion outperforms state-of-the-art algorithms in subjective and objective analysis.…”
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Integrating AIoT Technologies in Aquaculture: A Systematic Review by Fahmida Wazed Tina, Nasrin Afsarimanesh, Anindya Nag, Md Eshrat E. Alahi

“…We analyse current research on AIoT applications in aquaculture, with a strong emphasis on the use of IoT sensors for real-time data collection and AI algorithms for effective data analysis. Our focus areas include monitoring water quality, implementing smart feeding strategies, detecting diseases, analysing fish behaviour, and employing automated counting techniques. …”
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Advances in the application of machine learning technology in the field of environmental health by ZHENG Yu, LI Cheng, HU Guiping, JIA Guang

“…Among them, advanced machine learning (ML) algorithms can reveal laws that are difficult for humans to detect, showing important potential in biomarker identification, disease prevention, and environmental engineering optimization. …”
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